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Fidelity International
Data Scientist
June 14, 2026 – Present
Hands-on-ML
June 7, 2021 – June 12, 2021
Repo to save all my work related to the book "Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems-O’Reilly Media (2019)"
View Projecttensorflow-specialization
August 6, 2020 – January 1, 2021
I will be pushing all my code related to Tensorflow Specialisation Course and Hands-on ML book here
View Projectpractice
July 26, 2020 – August 1, 2021
A repo for managing all my notebooks for different types of algos I try on.
View Projecthackathons
June 15, 2020 – July 12, 2020
A repo where I can store code for all the notebooks related to any competition or hackathon
View Projectsagemaker-deployment
January 13, 2020 – January 13, 2020
This repo is for my AWS Sagemaker deployment project for Sentiment Analysis
View Projectemotion-detection
August 16, 2019 – August 21, 2019
emotion-detection — GitHub repository
View Projectcaffeine_coders_emotion_recognition
July 13, 2019 – August 20, 2019
caffeine_coders_emotion_recognition — GitHub repository
View Projectkaggle
July 11, 2019 – July 6, 2021
I will upload all my kernels for Kaggle problems here
View Projectudacity-secure-and-private-ai
June 15, 2019 – August 29, 2019
I created this repo to check in all my code for my challenge phase of Udacity's Deep Learning Nanodegree
View ProjectCCDSAP
April 14, 2019 – May 7, 2019
I will track my path to CCDSAP preparation in this repo.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on learning and experimentation. While this shows initiative, there is limited evidence of team-based projects or contributions to open-source, which could indicate a preference for independent work. The current role as a Data Scientist at Fidelity International suggests alignment with the target role, but the short tenure and lack of details on responsibilities make it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication style.